FACIAL RECOGNITION
Create Facial Recognition Software powered by AI
Leverage facial recognition for your software and benefit from efficient security with quick and convenient verification
Facial recognition is a technology that recognizes and verifies a person’s identity based on their face. It does this by analyzing and measuring facial features in pictures. This technology is commonly used in biometric security systems for tasks like user onboarding, logins, and enhancing user authentication on devices such as mobile phones.
Facial recognition serves as a fast and effective verification system, offering quicker and more convenient authentication than alternative biometric methods such as fingerprints or retina scans. The streamlined process reduces touchpoints compared to password or PIN entry, and it facilitates multifactor authentication for enhanced security.
Facial recognition provides boosted accuracy in identifying individuals, surpassing reliance on mobile numbers, email addresses, mailing addresses, or IP addresses. Various financial and security services, spanning stocks to cryptocurrencies, now utilize facial recognition for safeguarding customers and their assets.
Face recognition technology seamlessly integrates with a wide array of security software, ensuring compatibility. For instance, smartphones equipped with front-facing cameras inherently support facial recognition algorithms or software code, simplifying the integration process.
Here are some instances where facial recognition can be useful:
Facial recognition simplifies transaction authentication for individuals, eliminating the need for one-time passwords or two-step verification. This method offers heightened security by avoiding passwords susceptible to hacking. Some banking services, including ATM cash withdrawals and checkout registers, employ facial recognition for secure payment approvals.
In airports, biometric data, particularly in the form of e-Passports, allows travelers to bypass lengthy queues and use automated terminals for faster gate access. The integration of face recognition technology in e-Passports reduces wait times and enhances security at border controls.
Face recognition is employed by companies to distinguish and uniquely identify users when creating new accounts on online platforms. Additionally, the technology verifies the identity of individuals using the account in cases of suspicious or risky activities, enhancing fraud detection.
To bolster cybersecurity, companies opt for facial recognition technology as an alternative to traditional passwords. The inherent difficulty in altering one’s facial features makes unauthorized access challenging. This technology is also employed as a secure and accurate method for unlocking smartphones and other personal devices.
Explore how your app can go from good to great with AI functionalities that create better user experiences
INQUIRE NOWBuild customer- or external-facing Web, iOS, and/or Android apps the way you want it built - fast, at fixed price, and you get to keep the source code!
With the speed at which your competition (including startups) are innovating, you need to get software built at lightning speeds. Xamun got you covere by letting you build from prototype to working software in as fast as A FEW HOURS!
With Xamun, you own the resulting source code. What does this mean? Your team has the freedom to update your custom software whichever way you want. Also, owning the source code lets you retain your competitive advantage because the IP is all yours.
Outsourcing custom software development is oftentimes limited to time-and-material contracts which may not work well with your existing budget management processes. With Xamun, we accommodate a fixed price project engagement for every version of your custom software.
Building custom software with facial recognition provides tailored solutions that can be seamlessly integrated with existing systems, ensuring enhanced security and improved efficiency. Custom development offers flexibility, scalability, and the ability to comply with regulations, making it a cost-effective and innovative choice for organizations seeking specific and optimized facial recognition solutions.
Facial recognition technology identifies and verifies individuals by analyzing and measuring unique facial features. It can be used for various applications, including authentication, security, and personalized user experiences.
Solutions built with facial recognition technology features include secure authentication systems, fraud detection tools, access control systems, personalized user experiences, and enhanced security measures in various industries such as finance, healthcare, and transportation.
Yes, building custom software with facial recognition technology can be worth it for organizations seeking tailored solutions, seamless integration, enhanced security, and the ability to adapt to specific needs and compliance requirements.
It depends on what exactly it i what your want to build. Xamun has a cost estimator and other internal tools that will give you a much more accurate idea of how much it will cost you to build your custom insurance software.
If you have an existing Figma prototoype, building and deploying a bespoke solution with AI machine translation services with Xamun can take as fast as a few hours. If you’re coming in with a fresh idea, it can take only 4-6 weeks!
Not at all! As a service will take care of all the technical stuff, and you just need to make sure all your business processes are covered in what we will build for you. At some point, we will release a DIY platform and in that case, your own tech team can directly build your bespoke solution on their own.
Absolutely not! We will be very upfront on the total cost of build as soon as you sign off the Figma design for your custom insurance software which will also include a detailed scope of how the app would work. Unless you have additional features to build, that’s the final cost.
Xamun is a powerful app builder using AI & bots to quickly create software
85 Great Portland Street,
London, W1W 7LT,
United Kingdom
